Quick Case Studies Flashcards

Analyze real-world examples of successful and unsuccessful AI implementations. (25 cards)

1
Q

How did Netflix use AI to improve its user recommendations?

A

By using collaborative filtering and deep learning to personalize content based on user behavior.

Netflix’s model increased viewer engagement by surfacing highly relevant content.

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2
Q

What three data types power Google Maps’ traffic prediction system?

A
  1. Historical
  2. Real-time
  3. Crowdsourced data

Google leverages deep learning and traffic data to suggest optimal routes.

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3
Q

Fill in the blank:

Stitch Fix uses AI in tandem with human ______ to offer personalized fashion choices.

A

stylists

The hybrid model balances algorithmic suggestions with human judgment.

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4
Q

What makes Tesla’s Autopilot more accurate over time?

A

Continuous learning from real-world driving data and supervised learning updates.

Tesla’s fleet data trains its AI to better detect lanes, signs, and objects.

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5
Q

How did John Deere incorporate AI into their business practices?

A

Designing autonomous tractors using computer vision.

These tractors are able to use precision spraying based on machine learning, which reduces waste and boosts crop productivity.

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6
Q

What type of learning helps Amazon robots optimize warehouse navigation?

A

Reinforcement learning

AI-controlled robots learn efficient paths for order picking over time.

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7
Q

True or False:

Duolingo personalizes learning by adjusting lesson difficulty using AI.

A

True

This keeps learners in the optimal zone of difficulty.

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8
Q

A hospital uses AI to detect tumors in radiology scans. What benefit does this AI application offer?

A

Increased diagnostic accuracy and earlier detection of abnormalities.

AI can catch subtle patterns missed by human eyes alone.

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9
Q

Fill in the blanks:

Spotify’s Discover Weekly uses ______ ______ to analyze user and community data.

A

neural networks

Spotify’s Discover Weekly leverages three main data sources:

  1. a user’s listening habits,
  2. audio content features extracted using convolutional neural networks (like tempo, timbre, key, and danceability), and
  3. collaborative filtering across the listening patterns of millions of other users.

This allows Spotify to surface songs you’ve never heard before, creating highly personalized playlists through deep learning.

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10
Q

How does American Express use AI to reduce credit card fraud?

A

By using anomaly detection to flag unusual spending behavior.

This reduces false positives and protects customer accounts.

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11
Q

How is AI used in smart home assistants like Alexa or Google Home?

A

Natural language processing allows these devices to understand and respond to spoken commands.

AI enables voice recognition, task execution, and contextual understanding.

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12
Q

A classroom uses AI to recommend personalized practice problems for each student. What’s the benefit?

A

Students receive exercises tailored to their current skill level, improving learning outcomes.

Adaptive learning platforms use AI to enhance individual mastery.

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13
Q

Which are some common ways AI helps users manage their time at work?

A
  • Predictive scheduling
  • Email prioritization
  • To-do list automation
  • Meeting summarizations

There are many different ways that AI saves time. AI learns your routines and helps organize time more efficiently.

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14
Q

Microsoft Tay started tweeting offensive content shortly after launch. What caused this issue?

A

It learned toxic behavior from user interactions without content filtering.

Tay revealed the danger of unsupervised learning in open environments.

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15
Q

Fill in the blanks:

Amazon’s AI recruiting tool was scrapped due to bias against ______ ______.

A

female candidates

The tool replicated past biases from historical hiring data.

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16
Q

Why did IBM Watson struggle in healthcare?

A

Overhyped expectations and lack of clinical integration.

AI in medicine needs realistic scope and deep domain knowledge.

17
Q

What was a key safety issue in Tesla Autopilot crash investigations?

A

Users over-relied on the system, misunderstanding its limitations.

Clear human-AI boundaries are critical in semi-autonomous systems.

18
Q

What mistake did Google Photos’ labeling AI make?

A

It applied offensive or inappropriate labels due to biased training data.

Lack of diversity in datasets can lead to reputational damage.

19
Q

An autonomous vehicle fails to recognize a jaywalking pedestrian. What AI failure might be involved?

A

Inadequate handling of edge cases in object detection and decision-making.

Training data must include diverse, real-world scenarios.

20
Q

Why was Clearview AI legally challenged despite high technical performance?

A

The system collected facial data without consent.

AI systems must comply with privacy laws and ethical norms.

21
Q

How does Google Calendar use AI to assist with scheduling?

A

It suggests meeting times, auto-schedules based on availability, and interprets natural language for event creation.

By learning user preferences and recurring patterns, it reduces back-and-forth coordination.

22
Q

How does Gmail save time using AI features?

A

Through smart replies and predictive typing based on email content.

Gmail’s AI predicts contextually relevant responses and completes sentences to save time.

23
Q

True or False:

Smart assistants like Siri or Google Assistant help users manage time by enabling hands-free control over reminders and tasks.

A

True

Voice recognition allows users to schedule or retrieve information without interrupting ongoing activities.

24
Q

What is the role of an AI operator in business or enterprise settings?

A

To manage, guide, and monitor the use of AI tools to ensure efficiency, accuracy, and ethical alignment with company goals.

AI operators often act as human-in-the-loop supervisors who validate outputs, fine-tune prompts, and ensure responsible AI use.

25
What are some **examples** of how AI operators can be used in everyday life?
1. Booking restaurant reservations 2. Buying concert tickets 3. Scheduling appointments 4. Conducting research before a big purchase ## Footnote This emerging capability blends natural language understanding with action-oriented execution, allowing AI to move beyond information delivery into real-world productivity—e.g., OpenAI’s recent assistant demos and tools like Google Duplex.